Pandas Profiling Report

Dataset statistics

Number of variables	14
Number of observations	49997
Missing cells	8715
Missing cells (%)	1.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.7 MiB
Average record size in memory	98.0 B

Variable types

Numeric	8
Categorical	2
DateTime	2
Boolean	2

Alerts

`avg_surge` is highly correlated with `surge_pct`	High correlation
`surge_pct` is highly correlated with `avg_surge`	High correlation
`avg_surge` is highly correlated with `surge_pct`	High correlation
`surge_pct` is highly correlated with `avg_surge`	High correlation
`avg_surge` is highly correlated with `surge_pct`	High correlation
`surge_pct` is highly correlated with `avg_surge`	High correlation
`avg_rating_of_driver` has 8120 (16.2%) missing values	Missing
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`trips_in_first_30_days` has 15388 (30.8%) zeros	Zeros
`surge_pct` has 34407 (68.8%) zeros	Zeros
`weekday_pct` has 9202 (18.4%) zeros	Zeros

Reproduction

Analysis started	2022-01-11 04:08:02.470920
Analysis finished	2022-01-11 04:08:15.866956
Duration	13.4 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	49997
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25000.20503

Minimum	0
Maximum	49999
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	390.7 KiB

Quantile statistics

Minimum	0
5-th percentile	2500.8
Q1	12500
median	25001
Q3	37500
95-th percentile	47499.2
Maximum	49999
Range	49999
Interquartile range (IQR)	25000

Descriptive statistics

Standard deviation	14433.87743
Coefficient of variation (CV)	0.5773503622
Kurtosis	-1.200046285
Mean	25000.20503
Median Absolute Deviation (MAD)	12500
Skewness	-4.679185283 × 10^-5
Sum	1249935251
Variance	208336817.7
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
33351	1	< 0.1%
33329	1	< 0.1%
33330	1	< 0.1%
33331	1	< 0.1%
33332	1	< 0.1%
33333	1	< 0.1%
33334	1	< 0.1%
33335	1	< 0.1%
33336	1	< 0.1%
Other values (49987)	49987	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
49999	1	< 0.1%
49998	1	< 0.1%
49997	1	< 0.1%
49996	1	< 0.1%
49995	1	< 0.1%
49994	1	< 0.1%
49993	1	< 0.1%
49992	1	< 0.1%
49991	1	< 0.1%
49990	1	< 0.1%

city
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.7 KiB

Winterfell	23336
Astapor	16533
King's Landing	10128

Length

Max length	14
Median length	10
Mean length	9.818249095
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	King's Landing
2nd row	Astapor
3rd row	Astapor
4th row	King's Landing
5th row	Winterfell

Common Values

Value	Count	Frequency (%)
Winterfell	23336	46.7%
Astapor	16533	33.1%
King's Landing	10128	20.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
winterfell	23336	38.8%
astapor	16533	27.5%
king's	10128	16.8%
landing	10128	16.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

trips_in_first_30_days
Real number (ℝ_≥0)

ZEROS

Distinct	58
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.27583655

Minimum	0
Maximum	73
Zeros	15388
Zeros (%)	30.8%
Negative	0
Negative (%)	0.0%
Memory size	390.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	9
Maximum	73
Range	73
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.752847648
Coefficient of variation (CV)	1.648997002
Kurtosis	36.28161543
Mean	2.27583655
Median Absolute Deviation (MAD)	1
Skewness	4.636830746
Sum	113785
Variance	14.08386547
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	15388	30.8%
1	14108	28.2%
2	7402	14.8%
3	3788	7.6%
4	2562	5.1%
5	1616	3.2%
6	1134	2.3%
7	819	1.6%
8	589	1.2%
9	471	0.9%
Other values (48)	2120	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15388	30.8%
1	14108	28.2%
2	7402	14.8%
3	3788	7.6%
4	2562	5.1%
5	1616	3.2%
6	1134	2.3%
7	819	1.6%
8	589	1.2%
9	471	0.9%

Value	Count	Frequency (%)
73	1	< 0.1%
71	1	< 0.1%
63	1	< 0.1%
58	1	< 0.1%
56	2	< 0.1%
55	2	< 0.1%
54	2	< 0.1%
53	2	< 0.1%
51	1	< 0.1%
50	1	< 0.1%

signup_date
Date

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.7 KiB

Minimum	2014-01-01 00:00:00
Maximum	2014-01-31 00:00:00

Histogram

Histogram with fixed size bins (bins=31)

avg_rating_of_driver
Real number (ℝ_≥0)

MISSING

Distinct	37
Distinct (%)	0.1%
Missing	8120
Missing (%)	16.2%
Infinite	0
Infinite (%)	0.0%
Mean	4.601549777

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.7 KiB

Quantile statistics

Minimum	1
5-th percentile	3.4
Q1	4.3
median	4.9
Q3	5
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	0.7

Descriptive statistics

Standard deviation	0.6173427565
Coefficient of variation (CV)	0.1341597476
Kurtosis	8.13775609
Mean	4.601549777
Median Absolute Deviation (MAD)	0.1
Skewness	-2.428452353
Sum	192699.1
Variance	0.381112079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
5	20770	41.5%
4	4193	8.4%
4.5	2498	5.0%
4.8	2430	4.9%
4.7	1945	3.9%
4.9	1771	3.5%
4.3	1487	3.0%
4.6	1143	2.3%
3	1003	2.0%
4.4	829	1.7%
Other values (27)	3808	7.6%
(Missing)	8120	16.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	256	0.5%
1.5	4	< 0.1%
1.6	1	< 0.1%
1.7	2	< 0.1%
1.8	2	< 0.1%
1.9	1	< 0.1%
2	209	0.4%
2.1	6	< 0.1%
2.2	1	< 0.1%
2.3	22	< 0.1%

Value	Count	Frequency (%)
5	20770	41.5%
4.9	1771	3.5%
4.8	2430	4.9%
4.7	1945	3.9%
4.6	1143	2.3%
4.5	2498	5.0%
4.4	829	1.7%
4.3	1487	3.0%
4.2	601	1.2%
4.1	398	0.8%

avg_surge
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	115
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.074765886

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1.05
95-th percentile	1.38
Maximum	8
Range	7
Interquartile range (IQR)	0.05

Descriptive statistics

Standard deviation	0.2223420846
Coefficient of variation (CV)	0.2068748994
Kurtosis	77.27725293
Mean	1.074765886
Median Absolute Deviation (MAD)	0
Skewness	6.821169517
Sum	53735.07
Variance	0.04943600257
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	34452	68.9%
1.25	1100	2.2%
1.13	956	1.9%
1.02	809	1.6%
1.08	798	1.6%
1.04	774	1.5%
1.06	770	1.5%
1.05	704	1.4%
1.03	619	1.2%
1.07	616	1.2%
Other values (105)	8399	16.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	34452	68.9%
1.01	484	1.0%
1.02	809	1.6%
1.03	619	1.2%
1.04	774	1.5%
1.05	704	1.4%
1.06	770	1.5%
1.07	616	1.2%
1.08	798	1.6%
1.09	412	0.8%

Value	Count	Frequency (%)
8	1	< 0.1%
5.75	1	< 0.1%
5	5	< 0.1%
4.75	1	< 0.1%
4.5	4	< 0.1%
4.25	5	< 0.1%
4	12	< 0.1%
3.75	5	< 0.1%
3.63	1	< 0.1%
3.5	9	< 0.1%

last_trip_date
Date

Distinct	182
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	390.7 KiB

Minimum	2014-01-01 00:00:00
Maximum	2014-07-01 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

phone
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	395
Missing (%)	0.8%
Memory size	390.7 KiB

iPhone	34581
Android	15021

Length

Max length	7
Median length	6
Mean length	6.302830531
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	iPhone
2nd row	Android
3rd row	iPhone
4th row	iPhone
5th row	Android

Common Values

Value	Count	Frequency (%)
iPhone	34581	69.2%
Android	15021	30.0%
(Missing)	395	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
iphone	34581	69.7%
android	15021	30.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

surge_pct
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	367
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.849778987

Minimum	0
Maximum	100
Zeros	34407
Zeros (%)	68.8%
Negative	0
Negative (%)	0.0%
Memory size	390.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	8.6
95-th percentile	50
Maximum	100
Range	100
Interquartile range (IQR)	8.6

Descriptive statistics

Standard deviation	19.95931578
Coefficient of variation (CV)	2.255346242
Kurtosis	10.43613913
Mean	8.849778987
Median Absolute Deviation (MAD)	0
Skewness	3.144040526
Sum	442462.4
Variance	398.3742865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34407	68.8%
100	1416	2.8%
50	1367	2.7%
33.3	1152	2.3%
25	906	1.8%
20	790	1.6%
16.7	708	1.4%
14.3	533	1.1%
12.5	439	0.9%
11.1	393	0.8%
Other values (357)	7886	15.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	34407	68.8%
0.4	1	< 0.1%
0.5	3	< 0.1%
0.6	1	< 0.1%
0.7	5	< 0.1%
0.8	5	< 0.1%
0.9	9	< 0.1%
1	10	< 0.1%
1.1	8	< 0.1%
1.2	5	< 0.1%

Value	Count	Frequency (%)
100	1416	2.8%
85.7	2	< 0.1%
83.3	3	< 0.1%
80	11	< 0.1%
75	34	0.1%
71.4	5	< 0.1%
66.7	168	0.3%
64.7	1	< 0.1%
63.6	1	< 0.1%
62.5	1	< 0.1%

ultimate_black_user
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

False	31144
True	18853

Common Values
Chart

Value	Count	Frequency (%)
False	31144	62.3%
True	18853	37.7%

weekday_pct
Real number (ℝ_≥0)

ZEROS

Distinct	666
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	60.92629958

Minimum	0
Maximum	100
Zeros	9202
Zeros (%)	18.4%
Negative	0
Negative (%)	0.0%
Memory size	390.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	33.3
median	66.7
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	66.7

Descriptive statistics

Standard deviation	37.08116998
Coefficient of variation (CV)	0.6086233735
Kurtosis	-1.154170146
Mean	60.92629958
Median Absolute Deviation (MAD)	33.3
Skewness	-0.4777817161
Sum	3046132.2
Variance	1375.013167
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	16658	33.3%
0	9202	18.4%
50	4057	8.1%
66.7	2088	4.2%
33.3	1619	3.2%
75	1104	2.2%
60	772	1.5%
25	723	1.4%
80	668	1.3%
40	593	1.2%
Other values (656)	12513	25.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9202	18.4%
4	1	< 0.1%
5	1	< 0.1%
5.9	1	< 0.1%
6.3	3	< 0.1%
6.7	4	< 0.1%
7.1	4	< 0.1%
7.7	8	< 0.1%
8	1	< 0.1%
8.3	7	< 0.1%

Value	Count	Frequency (%)
100	16658	33.3%
99	1	< 0.1%
98.9	2	< 0.1%
98.5	1	< 0.1%
98.4	2	< 0.1%
98.3	1	< 0.1%
98.2	2	< 0.1%
98.1	2	< 0.1%
98	3	< 0.1%
97.8	1	< 0.1%

avg_dist
Real number (ℝ_≥0)

Distinct	2906
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.791316679

Minimum	0
Maximum	79.69
Zeros	150
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	390.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1.2
Q1	2.42
median	3.88
Q3	6.94
95-th percentile	16.77
Maximum	79.69
Range	79.69
Interquartile range (IQR)	4.52

Descriptive statistics

Standard deviation	5.63790757
Coefficient of variation (CV)	0.9735104956
Kurtosis	14.64981878
Mean	5.791316679
Median Absolute Deviation (MAD)	1.82
Skewness	2.966674369
Sum	289548.46
Variance	31.78600177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	150	0.3%
2.3	116	0.2%
2.29	116	0.2%
2.36	114	0.2%
2.7	114	0.2%
2.73	114	0.2%
2.5	113	0.2%
2.65	113	0.2%
2.83	110	0.2%
2.54	110	0.2%
Other values (2896)	48827	97.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	150	0.3%
0.01	38	0.1%
0.02	14	< 0.1%
0.03	6	< 0.1%
0.04	12	< 0.1%
0.05	7	< 0.1%
0.06	1	< 0.1%
0.07	5	< 0.1%
0.08	5	< 0.1%
0.09	2	< 0.1%

Value	Count	Frequency (%)
79.69	1	< 0.1%
79.34	1	< 0.1%
77.13	1	< 0.1%
73.88	1	< 0.1%
72.2	1	< 0.1%
72.08	1	< 0.1%
71.38	1	< 0.1%
70.48	1	< 0.1%
63.15	1	< 0.1%
62.14	1	< 0.1%

avg_rating_by_driver
Real number (ℝ_≥0)

Distinct	27
Distinct (%)	0.1%
Missing	200
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	4.778153302

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.7 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	4.7
median	5
Q3	5
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.4466596459
Coefficient of variation (CV)	0.09347955531
Kurtosis	24.22735113
Mean	4.778153302
Median Absolute Deviation (MAD)	0
Skewness	-4.128826827
Sum	237937.7
Variance	0.1995048393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
5	28507	57.0%
4.8	4536	9.1%
4.7	3330	6.7%
4.9	3094	6.2%
4.5	2424	4.8%
4.6	2078	4.2%
4	1914	3.8%
4.3	1018	2.0%
4.4	860	1.7%
3	602	1.2%
Other values (17)	1434	2.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	181	0.4%
1.5	4	< 0.1%
2	126	0.3%
2.3	1	< 0.1%
2.5	31	0.1%
2.7	2	< 0.1%
2.8	3	< 0.1%
3	602	1.2%
3.2	2	< 0.1%
3.3	47	0.1%

Value	Count	Frequency (%)
5	28507	57.0%
4.9	3094	6.2%
4.8	4536	9.1%
4.7	3330	6.7%
4.6	2078	4.2%
4.5	2424	4.8%
4.4	860	1.7%
4.3	1018	2.0%
4.2	342	0.7%
4.1	125	0.3%

retention
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

False	38305
True	11692

Common Values
Chart

Value	Count	Frequency (%)
False	38305	76.6%
True	11692	23.4%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	city	trips_in_first_30_days	signup_date	avg_rating_of_driver	avg_surge	last_trip_date	phone	surge_pct	ultimate_black_user	weekday_pct	avg_dist	avg_rating_by_driver	retention
0	0	King's Landing	4	2014-01-25	4.7	1.10	2014-06-17	iPhone	15.4	True	46.2	3.67	5.0	False
1	1	Astapor	0	2014-01-29	5.0	1.00	2014-05-05	Android	0.0	False	50.0	8.26	5.0	False
2	2	Astapor	3	2014-01-06	4.3	1.00	2014-01-07	iPhone	0.0	False	100.0	0.77	5.0	False
3	3	King's Landing	9	2014-01-10	4.6	1.14	2014-06-29	iPhone	20.0	True	80.0	2.36	4.9	True
4	4	Winterfell	14	2014-01-27	4.4	1.19	2014-03-15	Android	11.8	False	82.4	3.13	4.9	False
5	5	Winterfell	2	2014-01-09	3.5	1.00	2014-06-06	iPhone	0.0	True	100.0	10.56	5.0	False
6	6	Astapor	1	2014-01-24	NaN	1.00	2014-01-25	Android	0.0	False	100.0	3.95	4.0	False
7	7	Winterfell	2	2014-01-28	5.0	1.00	2014-01-29	iPhone	0.0	False	100.0	2.04	5.0	False
8	8	Winterfell	2	2014-01-21	4.5	1.00	2014-02-01	Android	0.0	False	100.0	4.36	5.0	False
9	9	Winterfell	1	2014-01-03	NaN	1.00	2014-01-05	Android	0.0	False	0.0	2.37	5.0	False

Last rows

	df_index	city	trips_in_first_30_days	signup_date	avg_rating_of_driver	avg_surge	last_trip_date	phone	surge_pct	ultimate_black_user	weekday_pct	avg_dist	avg_rating_by_driver	retention
49987	49990	Astapor	1	2014-01-13	4.7	1.08	2014-05-18	iPhone	33.3	True	33.3	3.38	5.0	False
49988	49991	Winterfell	0	2014-01-08	5.0	1.25	2014-06-29	iPhone	100.0	False	0.0	1.06	5.0	True
49989	49992	King's Landing	1	2014-01-18	1.0	1.00	2014-01-19	iPhone	0.0	False	0.0	7.58	5.0	False
49990	49993	Astapor	3	2014-01-03	4.8	1.11	2014-07-01	iPhone	11.1	True	55.6	2.53	4.7	True
49991	49994	Astapor	1	2014-01-03	4.6	1.44	2014-05-31	iPhone	37.5	False	25.0	2.25	4.5	False
49992	49995	King's Landing	0	2014-01-25	5.0	1.00	2014-06-05	iPhone	0.0	False	100.0	5.63	4.2	False
49993	49996	Astapor	1	2014-01-24	NaN	1.00	2014-01-25	iPhone	0.0	False	0.0	0.00	4.0	False
49994	49997	Winterfell	0	2014-01-31	5.0	1.00	2014-05-22	Android	0.0	True	100.0	3.86	5.0	False
49995	49998	Astapor	2	2014-01-14	3.0	1.00	2014-01-15	iPhone	0.0	False	100.0	4.58	3.5	False
49996	49999	Astapor	0	2014-01-18	NaN	1.00	2014-04-20	Android	0.0	False	0.0	3.49	5.0	False

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows